{"id":"https://openalex.org/W2161583956","doi":"https://doi.org/10.1109/apccas.2010.5774985","title":"A new regularized transform-domain NLMS adaptive filtering algorithm","display_name":"A new regularized transform-domain NLMS adaptive filtering algorithm","publication_year":2010,"publication_date":"2010-12-01","ids":{"openalex":"https://openalex.org/W2161583956","doi":"https://doi.org/10.1109/apccas.2010.5774985","mag":"2161583956"},"language":"en","primary_location":{"id":"doi:10.1109/apccas.2010.5774985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas.2010.5774985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Asia Pacific Conference on Circuits and Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057049452","display_name":"S. C. Chan","orcid":"https://orcid.org/0000-0001-7212-4182"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"S. C. Chan","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035734413","display_name":"Yijing Chu","orcid":"https://orcid.org/0000-0002-2923-8501"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Y. J. Chu","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058635138","display_name":"Z. G. Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Z. G. Zhang","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057049452"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.3388,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66001196,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"88","issue":null,"first_page":"696","last_page":"699"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.7448610067367554},{"id":"https://openalex.org/keywords/least-mean-squares-filter","display_name":"Least mean squares filter","score":0.6883933544158936},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6746052503585815},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6320127248764038},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.5935938358306885},{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.5620542168617249},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5544233322143555},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5196682214736938},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4806898534297943},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44867539405822754},{"id":"https://openalex.org/keywords/adaptive-algorithm","display_name":"Adaptive algorithm","score":0.4208824634552002},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.42020201683044434},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4055701494216919},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17370572686195374},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.14614686369895935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1020718514919281}],"concepts":[{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.7448610067367554},{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.6883933544158936},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6746052503585815},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6320127248764038},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.5935938358306885},{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.5620542168617249},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5544233322143555},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5196682214736938},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4806898534297943},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44867539405822754},{"id":"https://openalex.org/C2776003309","wikidata":"https://www.wikidata.org/wiki/Q1988072","display_name":"Adaptive algorithm","level":2,"score":0.4208824634552002},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.42020201683044434},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4055701494216919},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17370572686195374},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.14614686369895935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1020718514919281},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/apccas.2010.5774985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas.2010.5774985","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE Asia Pacific Conference on Circuits and Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:hub.hku.hk:10722/137728","is_oa":false,"landing_page_url":"http://hdl.handle.net/10722/137728","pdf_url":null,"source":{"id":"https://openalex.org/S4377196271","display_name":"The HKU Scholars Hub (University of Hong Kong)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I889458895","host_organization_name":"University of Hong Kong","host_organization_lineage":["https://openalex.org/I889458895"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference_Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2044704240","https://openalex.org/W2062483276","https://openalex.org/W2074682976","https://openalex.org/W2095613092","https://openalex.org/W2096972811","https://openalex.org/W2098674248","https://openalex.org/W2133247229","https://openalex.org/W2144174236","https://openalex.org/W2148607567","https://openalex.org/W2170317615","https://openalex.org/W4236087597","https://openalex.org/W6674616871"],"related_works":["https://openalex.org/W2081837274","https://openalex.org/W3040496336","https://openalex.org/W3134357585","https://openalex.org/W2476510629","https://openalex.org/W2253481662","https://openalex.org/W2105767219","https://openalex.org/W2982106677","https://openalex.org/W2144530466","https://openalex.org/W2792824092","https://openalex.org/W2612844333"],"abstract_inverted_index":{"The":[0,64,87],"transform":[1,50],"domain":[2,51],"normalized":[3],"LMS":[4],"(TD-NLMS)-adaptive":[5],"filtering":[6],"algorithm":[7,54,66,71,97,153],"is":[8,24,139],"an":[9],"efficient":[10],"adaptive":[11],"filter":[12],"with":[13,160],"fast":[14],"convergence":[15,62,92,103],"speed":[16],"and":[17,41,55,59,89,105,154],"reasonably":[18],"low":[19],"arithmetic":[20],"complexity.":[21],"However,":[22],"it":[23],"sensitive":[25],"to":[26,80,100,118,134,146],"the":[27,30,68,78,82,85,95,120,132,148,151,161],"level":[28,138],"of":[29,84,94,150],"excitation":[31],"signal,":[32],"which":[33],"may":[34],"vary":[35],"significantly":[36,140],"over":[37],"time":[38],"in":[39,157],"speech":[40],"audio":[42],"signals.":[43],"This":[44],"paper":[45],"proposes":[46],"a":[47,74],"new":[48],"regularized":[49],"NLMS":[52],"(R-TDNLMS)":[53],"studies":[56],"its":[57,102],"mean":[58,60,88,90,108],"square":[61,91],"performance.":[63],"proposed":[65,96,152],"extends":[67],"conventional":[69],"TDNLMS":[70],"by":[72,125],"imposing":[73],"regularization":[75,115],"term":[76],"on":[77],"coefficients":[79],"reduce":[81,119],"variance":[83],"estimator.":[86],"behaviors":[93],"are":[98,144,156],"studied":[99],"characterize":[101],"condition":[104],"steady-state":[106],"excess":[107],"squares":[109],"error":[110],"(MSE).":[111],"It":[112],"shows":[113],"that":[114],"can":[116],"help":[117],"MSE":[121],"for":[122,129],"coloured":[123],"inputs":[124],"trading":[126],"slight":[127],"bias":[128],"variance.":[130],"Moreover,":[131],"immunity":[133],"varying":[135],"input":[136],"signal":[137],"reduced.":[141],"Computer":[142],"simulations":[143],"conducted":[145],"examine":[147],"effectiveness":[149],"they":[155],"good":[158],"agreement":[159],"theoretical":[162],"analysis.":[163]},"counts_by_year":[{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}